Parameter-efficient framework for surgical action triplet recognition.
Journal:
International journal of computer assisted radiology and surgery
Published Date:
Apr 30, 2024
Abstract
PURPOSE: Surgical action triplet recognition is a clinically significant yet challenging task. It provides surgeons with detailed information about surgical scenarios, thereby facilitating clinical decision-making. However, the high similarity among action triplets presents a formidable obstacle to recognition. To enhance accuracy, prior methods necessitated the utilization of larger models, thereby incurring a considerable computational burden.